| | Models |
| 1. |
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
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| 2. |
A Model Circuit of Thalamocortical Convergence (Behuret et al. 2013)
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| 3. |
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
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| 4. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
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| 5. |
A network model of tail withdrawal in Aplysia (White et al 1993)
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| 6. |
A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017)
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| 7. |
A single column thalamocortical network model (Traub et al 2005)
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| 8. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
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| 9. |
A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
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| 10. |
Activity constraints on stable neuronal or network parameters (Olypher and Calabrese 2007)
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| 11. |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
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| 12. |
Alpha rhythm in vitro visual cortex (Traub et al 2020)
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| 13. |
Axonal gap junctions produce fast oscillations in cerebellar Purkinje cells (Traub et al. 2008)
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| 14. |
Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)
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| 15. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
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| 16. |
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
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| 17. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
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| 18. |
CA1 network model for place cell dynamics (Turi et al 2019)
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| 19. |
CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2019)
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| 20. |
CA1 pyramidal cell: reconstructed axonal arbor and failures at weak gap junctions (Vladimirov 2011)
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| 21. |
Cerebellar granular layer (Maex and De Schutter 1998)
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| 22. |
Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
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| 23. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
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| 24. |
Competing oscillator 5-cell circuit and Parameterscape plotting (Gutierrez et al. 2013)
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| 25. |
Computer model of clonazepam`s effect in thalamic slice (Lytton 1997)
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| 26. |
Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
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| 27. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
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| 28. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
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| 29. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
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| 30. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
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| 31. |
Dentate gyrus network model (Santhakumar et al 2005)
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| 32. |
Dentate gyrus network model (Tejada et al 2014)
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| 33. |
Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
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| 34. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
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| 35. |
Electrically-coupled Retzius neurons (Vazquez et al. 2009)
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| 36. |
Electrodecrements in in vitro model of infantile spasms (Traub et al 2020)
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| 37. |
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
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| 38. |
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
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| 39. |
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
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| 40. |
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
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| 41. |
Gamma genesis in the basolateral amygdala (Feng et al 2019)
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| 42. |
Half-center oscillator database of leech heart interneuron model (Doloc-Mihu & Calabrese 2011)
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| 43. |
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
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| 44. |
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
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| 45. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
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| 46. |
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
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| 47. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
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| 48. |
Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)
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| 49. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
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| 50. |
Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
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| 51. |
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
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| 52. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
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| 53. |
Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
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| 54. |
L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
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| 55. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
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| 56. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
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| 57. |
Leech Heart (HE) Motor Neuron conductances contributions to NN activity (Lamb & Calabrese 2013)
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| 58. |
Leech heart interneuron network model (Hill et al 2001, 2002)
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| 59. |
Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004)
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| 60. |
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
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| 61. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
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| 62. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
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| 63. |
Model of arrhythmias in a cardiac cells network (Casaleggio et al. 2014)
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| 64. |
Model of eupnea and sigh generation in respiratory network (Toporikova et al 2015)
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| 65. |
Model of the cerebellar granular network (Sudhakar et al 2017)
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| 66. |
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018)
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| 67. |
Modulation of septo-hippocampal theta activity by GABAA receptors (Hajos et al. 2004)
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| 68. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
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| 69. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
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| 70. |
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
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| 71. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
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| 72. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
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| 73. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
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| 74. |
Olfactory bulb mitral cell gap junction NN model: burst firing and synchrony (O`Connor et al. 2012)
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| 75. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
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| 76. |
Olfactory Bulb Network (Davison et al 2003)
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| 77. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
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| 78. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
|
| 79. |
Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells (Lee et al. 2014)
|
| 80. |
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
|
| 81. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
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| 82. |
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
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| 83. |
Reverberatory bursts propagation and synchronization in developing cultured NNs (Huang et al 2016)
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| 84. |
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
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| 85. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
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| 86. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
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| 87. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
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| 88. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
| 89. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
|
| 90. |
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
|
| 91. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
| 92. |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
|
| 93. |
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
|
| 94. |
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
|
| 95. |
Temporal integration by stochastic recurrent network (Okamoto et al. 2007)
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| 96. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
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| 97. |
Thalamic Reticular Network (Destexhe et al 1994)
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| 98. |
Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
|
| 99. |
Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996)
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| 100. |
Thalamocortical augmenting response (Bazhenov et al 1998)
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| 101. |
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
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| 102. |
The microcircuits of striatum in silico (Hjorth et al 2020)
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| 103. |
The origin of different spike and wave-like events (Hall et al 2017)
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| 104. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
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| 105. |
Two-cell inhibitory network bursting dynamics captured in a one-dimensional map (Matveev et al 2007)
|
| 106. |
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
|
| 107. |
Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)
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